IEEE

TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection

Abstract: The abnormality in depression exhibits reciprocal imbalanced connectivity between brain regions rather than increased or decreased activity of one particular area. Current works primarily ...
Journal of Medical Internet Research

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

The model performance comparison involved the use of chain-of-thought and zero-shot prompting to analyze the text structure and content. Results: We used 428 diaries from 91 participants; GPT-3.5 fine ...
Northamptonshire Evening Telegraph

Teenage cyclist threatened at knife point using Northamptonshire cycle path

Thank you for signing up! Did you know with an ad-lite subscription to Northamptonshire Telegraph, you get 70% fewer ads while viewing the news that matters to you. A spokeswoman for Northants Police ...
CSOonline

Meet ShadowLeak: ‘Impossible to detect’ data theft using AI

Radware has created a zero-click indirect prompt injection technique that could bypass ChatGPT to trick OpenAI servers into leaking corporate data. For years threat actors have used social engineering ...
IEEE

A Graph-Based Hyperspectral Change Detection Framework Using Difference Augmentation and Progressive Reconstruction With Limited Labels

Abstract: Identifying land cover changes based on hyperspectral images (HSIs) has been a research hotspot in the field of remote sensing (RS). In recent years, deep-learning (DL)-based change ...